Evidence map›Paper›PMID 31496634›Full record

ArticleEvolutionary bioinformatics online2019

Selection Pressures on RNA Sequences and Structures.

Katja Nowick, Maria Beatriz Walter Costa, Christian Höner Zu Siederdissen, Peter F Stadler

Open access · goldAbstract readComment
In one paragraph

Article in Evolutionary bioinformatics online, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Reversions mask the contribution of adaptive evolution in microbiomes.bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Variation Profile of the Orthotospovirus Genome.Pathogens (Basel, Switzerland) · 2020
    Article
  8. Article
  9. Analysis of Long Non-Coding RNA inFrontiers in cellular and infection microbiology · 2020
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 5 countries.

Katja NowickHuman Biology Group, Institute for Biology, Department of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-3993-4479
Maria Beatriz Walter CostaEmbrapa Agroenergia, Brasilia, Brazil.
Christian Höner Zu SiederdissenBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Universität Leipzig, Leipzig, Germany.
Peter F StadlerBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Universität Leipzig, Leipzig, Germany.
Brazilian Agricultural Research Corporation · BRFreie Universität Berlin · DELeipzig University · DEUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the discovery of increasingly more functional noncoding RNAs (ncRNAs), it becomes eminent to more strongly consider them as important players during species evolution. Although tests for negative selection of ncRNAs already exist since the beginning of this century, the SSS-test is the first one for also investigating positive selection. When analyzing selection in ncRNAs, it should be taken into account that selection pressures can independently act on sequence and structure. We applied the SSS-test to explore the evolution of ncRNAs in primates and identified more than 100 long noncoding RNAs (lncRNAs) that might evolve under positive selection in humans. With this test, it is now possible to more thoroughly include ncRNAs into evolutionary studies.

Indexed as

consensus structurepositive selectionRNAstructural conservation

Identifiers

PMID31496634
PMCPMC6716170
OpenAlexW2971120609

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.